Kitchen manager in állások, munkák adatbázisszakértő kategóriában

• Design and implement ETL processes
• Develop and maintain data pipelines to ingest, transform, and load data from various sources
• Ensuring development tasks to support new release of the project/solutions
• Support production issues, or requests
• Ensure data quality and integrity throughout the ETL lifecycle

• Design and scale analytics-ready data models using dbt in Microsoft Fabric
• Transform raw enterprise data into trusted, business-ready datasets
• Build and own Power BI semantic models and DAX logic (this is a hard requirement)
• Ensure data quality, testing, documentation, and governance end-to-end

• Designing and developing data-driven solutions using machine learning, language models, and statistical modelling,
• Analysing, interpreting, and visualizing data to support business opportunities,
• Preparing and delivering presentations of results to management and clients,

• Create, update, and maintain master data records (customers, vendors, materials, pricing, etc.) in ERP systems.
• Ensure data accuracy, completeness, and compliance with company standards and policies.
• Perform regular data audits and cleansing to maintain integrity and consistency.

• Managing and Expanding Data IT team located in different countries of the Region;
• Overseeing the integration of data into the enterprise data warehouse, collaboration with department heads to ensure accurate and relevant reporting data;

• Learn state of the art new technologies.
• Acting as a team member in BI focused engagements.

• 3-5+ overall working experience with at least 2+ years of relevant work experience 
• Experience in analytics, commercial performance, finance, or business analysis roles. 
• Exposure to retail, FMCG, aviation, or consumer-facing industries is an advantage.  

• Design and maintain robust, scalable data architectures
• Build and optimize high‑performance data models for analytics
• Partner with business and engineering teams to shape data solutions end‑to‑end
• Lead data integration, transformation, and migration efforts

• Review recurring operational and financial KPIs to spot unusual trends, missing data, or incorrect results
• Make sense of the numbers: ensure data reflects business reality, challenge unexpected outcomes, and clearly explain insights

• Triaging new requirements, assessing their impact, and providing estimates for modifying data models accordingly.
• You will also be responsible for developing and enhancing business physical data models to meet evolving needs while driving alignment as necessary.

• Design and implement scalable data models and transformations using dbt within the Microsoft Fabric ecosystem.
• Collaborate with business stakeholders to understand data needs and deliver high-quality datasets.

• Handle day‑to‑day NetSuite administration (users, roles, permissions, custom fields, forms, workflows).
• Monitor system performance, troubleshoot issues, and ensure data accuracy.
• Manage NetSuite releases: test changes in sandbox, analyze impact, and communicate updates.

• build processes supporting data transformation, data structures, metadata, and data blueprints
• design and optimize big data pipelines, architectures and data sets
• participating at projects
• daily maintanance of DW processes
• making ad-hoc and permanent programs
• support of business areas

Verantwortung im Forschungsprojekt DIAS übernehmen und bei der Akquise neuer Projekte helfen Entwicklung und Implementierung einer dialogbasierten KI-Anwendung auf Basis von Open-Source-LLMs Konzeption und Durchführung von Prompt Engineering sowie Fine-Tuning der Sprachmodelle zur...

• Combine curiosity, fast understanding of business processes, and strong analytical skills to identify and implement impactful Data Science solutions
• Lead end-to-end development and operationalization of Machine Learning models within a team of experienced Data Scientists and Data Engineers

• Support KPI and management reporting; develop and maintain senior management dashboards (Power BI)
• Build Power BI data models and Power Apps/Power Automate solutions
• Assist governance work (e.g., IIA alignment, audit manual updates, QA activities, surveys)

Design various RESTful APIs and backend databases in multi region environment. Contribute into targeting engine and segmentation pipelines. Develop automations and tests to ensure system stability. Collaborate with various Engineering and Business teams on their needs. Drive innovation in Data...

Design, implement and enhance data solutions for customer organizations Implementation of data integrations (e.g. load data from operative systems like ERP or CRM) Development of data platform / data warehouse in cloud platforms (e.g. data transformation and aggregation) Implementing...

Work with Oracle ERP systems to support applications Automate business processes Contribute to solution development and enhancement Participate in application upgrade projects...

Coordinating data & analytics project deliveries Coordinating the work of other team members Leading architecture definition and data modelling Participating in implementation work Ensuring solutions are created with high quality Customer communication and demand management Driving the project to...